Reduction of energy intake using just-in-time feedback from a wearable sensor system. Farooq, M., McCrory, M., A., & Sazonov, E. Obesity, 25(4):676-681, 4, 2017. ![Reduction of energy intake using just-in-time feedback from a wearable sensor system [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex Objective This work explored the potential use of a wearable sensor system for providing just-in-time (JIT) feedback on the progression of a meal and tested its ability to reduce the total food mass intake. Methods Eighteen participants consumed three meals each in a lab while monitored by a wearable sensor system capable of accurately tracking chew counts. The baseline visit was used to establish the self-determined ingested mass and the associated chew counts. Real-time feedback on chew counts was provided in the next two visits, during which the target chew count was either the same as that at baseline or the baseline chew count reduced by 25% (in randomized order). The target was concealed from the participant and from the experimenter. Nonparametric repeated-measures ANOVAs were performed to compare mass of intake, meal duration, and ratings of hunger, appetite, and thirst across three meals. Results JIT feedback targeting a 25% reduction in chew counts resulted in a reduction in mass and energy intake without affecting perceived hunger or fullness. Conclusions JIT feedback on chewing behavior may reduce intake within a meal. This system can be further used to help develop individualized strategies to provide JIT adaptive interventions for reducing energy intake.
@article{
title = {Reduction of energy intake using just-in-time feedback from a wearable sensor system},
type = {article},
year = {2017},
identifiers = {[object Object]},
keywords = {activity-recognition,auracle,eating,in-take-detection,iot,mobile-health,strain-sensor,wearable},
pages = {676-681},
volume = {25},
websites = {http://dx.doi.org/10.1002/oby.21788},
month = {4},
id = {49bd811d-fa44-3326-ac88-90cc9bc7914e},
created = {2018-07-12T21:32:26.061Z},
file_attached = {false},
profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
last_modified = {2018-07-12T21:32:26.061Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {farooq:wearable17},
source_type = {article},
private_publication = {false},
abstract = {Objective This work explored the potential use of a wearable sensor system for providing just-in-time (JIT) feedback on the progression of a meal and tested its ability to reduce the total food mass intake. Methods Eighteen participants consumed three meals each in a lab while monitored by a wearable sensor system capable of accurately tracking chew counts. The baseline visit was used to establish the self-determined ingested mass and the associated chew counts. Real-time feedback on chew counts was provided in the next two visits, during which the target chew count was either the same as that at baseline or the baseline chew count reduced by 25% (in randomized order). The target was concealed from the participant and from the experimenter. Nonparametric repeated-measures ANOVAs were performed to compare mass of intake, meal duration, and ratings of hunger, appetite, and thirst across three meals. Results JIT feedback targeting a 25% reduction in chew counts resulted in a reduction in mass and energy intake without affecting perceived hunger or fullness. Conclusions JIT feedback on chewing behavior may reduce intake within a meal. This system can be further used to help develop individualized strategies to provide JIT adaptive interventions for reducing energy intake.},
bibtype = {article},
author = {Farooq, Muhammad and McCrory, Megan A and Sazonov, Edward},
journal = {Obesity},
number = {4}
}
Downloads: 0
{"_id":"Kp2ZKDfW4d2ZehRmF","bibbaseid":"farooq-mccrory-sazonov-reductionofenergyintakeusingjustintimefeedbackfromawearablesensorsystem-2017","downloads":0,"creationDate":"2019-02-15T15:15:01.604Z","title":"Reduction of energy intake using just-in-time feedback from a wearable sensor system","author_short":["Farooq, M.","McCrory, M., A.","Sazonov, E."],"year":2017,"bibtype":"article","biburl":null,"bibdata":{"title":"Reduction of energy intake using just-in-time feedback from a wearable sensor system","type":"article","year":"2017","identifiers":"[object Object]","keywords":"activity-recognition,auracle,eating,in-take-detection,iot,mobile-health,strain-sensor,wearable","pages":"676-681","volume":"25","websites":"http://dx.doi.org/10.1002/oby.21788","month":"4","id":"49bd811d-fa44-3326-ac88-90cc9bc7914e","created":"2018-07-12T21:32:26.061Z","file_attached":false,"profile_id":"f954d000-ce94-3da6-bd26-b983145a920f","group_id":"b0b145a3-980e-3ad7-a16f-c93918c606ed","last_modified":"2018-07-12T21:32:26.061Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"farooq:wearable17","source_type":"article","private_publication":false,"abstract":"Objective This work explored the potential use of a wearable sensor system for providing just-in-time (JIT) feedback on the progression of a meal and tested its ability to reduce the total food mass intake. Methods Eighteen participants consumed three meals each in a lab while monitored by a wearable sensor system capable of accurately tracking chew counts. The baseline visit was used to establish the self-determined ingested mass and the associated chew counts. Real-time feedback on chew counts was provided in the next two visits, during which the target chew count was either the same as that at baseline or the baseline chew count reduced by 25% (in randomized order). The target was concealed from the participant and from the experimenter. Nonparametric repeated-measures ANOVAs were performed to compare mass of intake, meal duration, and ratings of hunger, appetite, and thirst across three meals. Results JIT feedback targeting a 25% reduction in chew counts resulted in a reduction in mass and energy intake without affecting perceived hunger or fullness. Conclusions JIT feedback on chewing behavior may reduce intake within a meal. This system can be further used to help develop individualized strategies to provide JIT adaptive interventions for reducing energy intake.","bibtype":"article","author":"Farooq, Muhammad and McCrory, Megan A and Sazonov, Edward","journal":"Obesity","number":"4","bibtex":"@article{\n title = {Reduction of energy intake using just-in-time feedback from a wearable sensor system},\n type = {article},\n year = {2017},\n identifiers = {[object Object]},\n keywords = {activity-recognition,auracle,eating,in-take-detection,iot,mobile-health,strain-sensor,wearable},\n pages = {676-681},\n volume = {25},\n websites = {http://dx.doi.org/10.1002/oby.21788},\n month = {4},\n id = {49bd811d-fa44-3326-ac88-90cc9bc7914e},\n created = {2018-07-12T21:32:26.061Z},\n file_attached = {false},\n profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},\n group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},\n last_modified = {2018-07-12T21:32:26.061Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {farooq:wearable17},\n source_type = {article},\n private_publication = {false},\n abstract = {Objective This work explored the potential use of a wearable sensor system for providing just-in-time (JIT) feedback on the progression of a meal and tested its ability to reduce the total food mass intake. Methods Eighteen participants consumed three meals each in a lab while monitored by a wearable sensor system capable of accurately tracking chew counts. The baseline visit was used to establish the self-determined ingested mass and the associated chew counts. Real-time feedback on chew counts was provided in the next two visits, during which the target chew count was either the same as that at baseline or the baseline chew count reduced by 25% (in randomized order). The target was concealed from the participant and from the experimenter. Nonparametric repeated-measures ANOVAs were performed to compare mass of intake, meal duration, and ratings of hunger, appetite, and thirst across three meals. Results JIT feedback targeting a 25% reduction in chew counts resulted in a reduction in mass and energy intake without affecting perceived hunger or fullness. Conclusions JIT feedback on chewing behavior may reduce intake within a meal. This system can be further used to help develop individualized strategies to provide JIT adaptive interventions for reducing energy intake.},\n bibtype = {article},\n author = {Farooq, Muhammad and McCrory, Megan A and Sazonov, Edward},\n journal = {Obesity},\n number = {4}\n}","author_short":["Farooq, M.","McCrory, M., A.","Sazonov, E."],"urls":{"Website":"http://dx.doi.org/10.1002/oby.21788"},"bibbaseid":"farooq-mccrory-sazonov-reductionofenergyintakeusingjustintimefeedbackfromawearablesensorsystem-2017","role":"author","keyword":["activity-recognition","auracle","eating","in-take-detection","iot","mobile-health","strain-sensor","wearable"],"downloads":0},"search_terms":["reduction","energy","intake","using","time","feedback","wearable","sensor","system","farooq","mccrory","sazonov"],"keywords":["activity-recognition","auracle","eating","in-take-detection","iot","mobile-health","strain-sensor","wearable"],"authorIDs":[]}